Most clients want one thing: Quick ROI with minimal risk from their first AI project.
And I get it. But the ugly truth is that focusing on this quick and easy AI fix is a trap. This simple mistake may prevent your company from achieving true revolutionary scale.
The real value of AI isn’t the algorithm but the data you collect.
If you collect your company data, it can be codified and translated into the clear instructions on how you operate. When you bring that knowledge out of your workers’ heads and into a system, you can expect to automate processes and start working a lot faster.
No one else can provide you with the personalized set of data that will speed up your company, since only you know what are the clear of your customers.
Using generic technology and generic data is a quick solution that doesn’t actually help in the long run. It speeds you up slightly at the beginning, but you never reach the full potential of the AI.
Chasing a quick AI win is like buying a quick train when you really need a railway system. Without the tracks, the train doesn’t really contribute much.
Implementing a simple AI tool is fast and cheap, but it can’t handle massive loads or scale beyond that single purpose. You only get incremental gains.
Building strong data foundations and architectures is a long, expensive process. The initial ROI is terrible. But once the tracks are built, you can use the tracks however you deem fit, with multiple trains and your own set speed.
Most companies lack the cultural mindset needed for true automation. They focus on the train instead of the tracks, and on the ROI instead of on the data foundations that bring non-replicable value in the long run.
#AIStrategy #DataManagement #ROI #BusinessTransformation